






import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    FEATURE_EXTRACTOR_MAPPING,
    AutoConfig,
    AutoFeatureExtractor,
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402


SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				get_tests_dir("""fixtures""")
SCREAMING_SNAKE_CASE__		:							List[str] 				=				get_tests_dir("""fixtures/dummy_feature_extractor_config.json""")
SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				get_tests_dir("""fixtures/dummy-config.json""")







class 				UpperCAmelCase_  (		unittest.TestCase		):




     def   __UpperCAmelCase  (				self		):
          UpperCAmelCase__      :  List[Any]				      =			0




     def   __UpperCAmelCase  (				self		):
          UpperCAmelCase__      :  int				      =			AutoFeatureExtractor.from_pretrained("""facebook/wav2vec2-base-960h"""		)
          self.assertIsInstance(UpperCamelCase__	,						UpperCamelCase__		)




     def   __UpperCAmelCase  (				self		):
          UpperCAmelCase__      :  Union[str, Any]				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__		)
          self.assertIsInstance(UpperCamelCase__	,						UpperCamelCase__		)




     def   __UpperCAmelCase  (				self		):


          with tempfile.TemporaryDirectory() as tmpdirname:
               UpperCAmelCase__      :  Any				      =			WavaVecaConfig()

               # remove feature_extractor_type to make sure config.json alone is enough to load feature processor locally
               UpperCAmelCase__      :  Dict				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__		).to_dict()

               config_dict.pop("""feature_extractor_type"""		)
               UpperCAmelCase__      :  Optional[Any]				      =			WavaVecaFeatureExtractor(**UpperCamelCase__		)

               # save in new folder
               model_config.save_pretrained(UpperCamelCase__		)
               config.save_pretrained(UpperCamelCase__		)

               UpperCAmelCase__      :  Dict				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__		)

               # make sure private variable is not incorrectly saved
               UpperCAmelCase__      :  Union[str, Any]				      =			json.loads(config.to_json_string()		)
               self.assertTrue("""_processor_class""" not in dict_as_saved		)

          self.assertIsInstance(UpperCamelCase__	,						UpperCamelCase__		)




     def   __UpperCAmelCase  (				self		):
          UpperCAmelCase__      :  Optional[int]				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__		)
          self.assertIsInstance(UpperCamelCase__	,						UpperCamelCase__		)




     def   __UpperCAmelCase  (				self		):


          with self.assertRaisesRegex(
              UpperCamelCase__	,						"""bert-base is not a local folder and is not a valid model identifier"""		):
               UpperCAmelCase__      :  Any				      =			AutoFeatureExtractor.from_pretrained("""bert-base"""		)




     def   __UpperCAmelCase  (				self		):


          with self.assertRaisesRegex(
              UpperCamelCase__	,						R"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""		):
               UpperCAmelCase__      :  List[str]				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__	,						revision="""aaaaaa"""		)




     def   __UpperCAmelCase  (				self		):


          with self.assertRaisesRegex(
              UpperCamelCase__	,						"""hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json."""	,						):
               UpperCAmelCase__      :  Tuple				      =			AutoFeatureExtractor.from_pretrained("""hf-internal-testing/config-no-model"""		)




     def   __UpperCAmelCase  (				self		):


          with self.assertRaises(UpperCamelCase__		):
               UpperCAmelCase__      :  Any				      =			AutoFeatureExtractor.from_pretrained(
                   """hf-internal-testing/test_dynamic_feature_extractor"""		)
          # If remote code is disabled, we can't load this config.
          with self.assertRaises(UpperCamelCase__		):
               UpperCAmelCase__      :  Optional[int]				      =			AutoFeatureExtractor.from_pretrained(
                   """hf-internal-testing/test_dynamic_feature_extractor"""	,						trust_remote_code=UpperCamelCase__		)

          UpperCAmelCase__      :  Optional[int]				      =			AutoFeatureExtractor.from_pretrained(
              """hf-internal-testing/test_dynamic_feature_extractor"""	,						trust_remote_code=UpperCamelCase__		)
          self.assertEqual(feature_extractor.__class__.__name__	,						"""NewFeatureExtractor"""		)

          # Test feature extractor can be reloaded.
          with tempfile.TemporaryDirectory() as tmp_dir:
               feature_extractor.save_pretrained(UpperCamelCase__		)
               UpperCAmelCase__      :  Dict				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__	,						trust_remote_code=UpperCamelCase__		)
          self.assertEqual(reloaded_feature_extractor.__class__.__name__	,						"""NewFeatureExtractor"""		)




     def   __UpperCAmelCase  (				self		):


          try:
               AutoConfig.register("""custom"""	,						UpperCamelCase__		)
               AutoFeatureExtractor.register(UpperCamelCase__	,						UpperCamelCase__		)
               # Trying to register something existing in the Transformers library will raise an error
               with self.assertRaises(UpperCamelCase__		):
                    AutoFeatureExtractor.register(UpperCamelCase__	,						UpperCamelCase__		)

               # Now that the config is registered, it can be used as any other config with the auto-API
               UpperCAmelCase__      :  Dict				      =			CustomFeatureExtractor.from_pretrained(UpperCamelCase__		)
               with tempfile.TemporaryDirectory() as tmp_dir:
                    feature_extractor.save_pretrained(UpperCamelCase__		)
                    UpperCAmelCase__      :  List[Any]				      =			AutoFeatureExtractor.from_pretrained(UpperCamelCase__		)
                    self.assertIsInstance(UpperCamelCase__	,						UpperCamelCase__		)

          finally:
               if "custom" in CONFIG_MAPPING._extra_content:
                    del CONFIG_MAPPING._extra_content["custom"]
               if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
                    del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]




     def   __UpperCAmelCase  (				self		):







          class 				UpperCAmelCase_  (		__A		):
               __lowerCamelCase      				=  True

          try:
               AutoConfig.register("""custom"""	,						UpperCamelCase__		)
               AutoFeatureExtractor.register(UpperCamelCase__	,						UpperCamelCase__		)
               # If remote code is not set, the default is to use local
               UpperCAmelCase__      :  Any				      =			AutoFeatureExtractor.from_pretrained(
                   """hf-internal-testing/test_dynamic_feature_extractor"""		)
               self.assertEqual(feature_extractor.__class__.__name__	,						"""NewFeatureExtractor"""		)
               self.assertTrue(feature_extractor.is_local		)

               # If remote code is disabled, we load the local one.
               UpperCAmelCase__      :  str				      =			AutoFeatureExtractor.from_pretrained(
                   """hf-internal-testing/test_dynamic_feature_extractor"""	,						trust_remote_code=UpperCamelCase__		)
               self.assertEqual(feature_extractor.__class__.__name__	,						"""NewFeatureExtractor"""		)
               self.assertTrue(feature_extractor.is_local		)

               # If remote is enabled, we load from the Hub
               UpperCAmelCase__      :  str				      =			AutoFeatureExtractor.from_pretrained(
                   """hf-internal-testing/test_dynamic_feature_extractor"""	,						trust_remote_code=UpperCamelCase__		)
               self.assertEqual(feature_extractor.__class__.__name__	,						"""NewFeatureExtractor"""		)
               self.assertTrue(not hasattr(UpperCamelCase__	,						"""is_local"""		)		)

          finally:
               if "custom" in CONFIG_MAPPING._extra_content:
                    del CONFIG_MAPPING._extra_content["custom"]
               if CustomConfig in FEATURE_EXTRACTOR_MAPPING._extra_content:
                    del FEATURE_EXTRACTOR_MAPPING._extra_content[CustomConfig]














'''simple docstring'''







def       __UpperCamelCase					(      lowercase_       :  int = 1_000_000   ):
       """simple docstring"""




       a_						     =			set(range(3   ,       lowercase_   ,       2   )   )
       primes.add(2   )
       for p in range(3   ,       lowercase_   ,       2   ):
              if p not in primes:
                     continue
              primes.difference_update(set(range(p * p   ,       lowercase_   ,       lowercase_   )   )   )

       a_						     =			[float(lowercase_   ) for n in range(limit + 1   )]

       for p in primes:
              for n in range(lowercase_   ,       limit + 1   ,       lowercase_   ):
                     phi[n] *= 1 - 1 / p

       return int(sum(phi[2:]   )   )


if __name__ == "__main__":
  print(f"""{solution() = }""")




